A python package to help with quantum espresso calculations. Prepares inputs, parses outputs, performs analysis.
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Oct 9, 2017 - HTML
Simulation refers to the process of creating a virtual model of a real-world system to study its behavior and performance under various conditions. This topic covers the principles, methodologies, and applications of simulation in fields such as engineering, science, healthcare, and social sciences. Simulations can range from simple models to complex, interactive environments, allowing researchers and practitioners to test hypotheses, train individuals, and predict outcomes without the risks or costs associated with real-world experiments. The topic also explores different types of simulation software and tools, as well as best practices for designing and validating simulations.
A python package to help with quantum espresso calculations. Prepares inputs, parses outputs, performs analysis.
Illustrate how to simulate data with Jags
Analyzing Multicollineaerity with a little simulation
Confidence interval simulations
Материалы к курсу "Компьютерная математика", 2020 г.
An asset-pricing model using historical prices. Volatility of the asset is modeled as the random variable that changes over time and each iteration. For modelling the future price behavior, Monte Carlo simulations were performed.
Прогнозы COVID-19, объяснённые на игровых симуляциях
Understand the concepts, equations and code needed for simulating the movement and collisions of balls.
In this project, we analyze differences in performance metrics for collegiate basketball teams that have qualified for March Madness versus those that have not using a variety of Monte Carlo Simulation methods in R.
Obtantion of the complete dynamic model for omnidirectional tire-wheeled robot (Otbot) used to make parameter identification, design a control law and verify both via MATLAB simulations.
📓 "An Introduction to Time Series Analysis with R" is a text which is currently under development and aims at giving readers a general overview of the main aspects that characterise time series and the most common tools used for their analysis.
Tesi triennale sulla ricerca del post merger di segnali di onda gravitazionale
Simulations made with the python package vpython, specifically in the field of astrophysics.
Archive of Monte Carlo experiments using the switchboard package for R
Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence
the hierfstat package
How do trait-based food webs rewire when they're subjected to different types of stressors? 📉 📈
The Systems Biology Simulation Core Library (SBSCL) provides an efficient and exhaustive Java implementation of methods to interpret the content of models encoded in the Systems Biology Markup Language (SBML) and its numerical solution.
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